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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Reasoning Step Word Count Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyzes ReAct traces to measure reasoning depth and identify zero-shot behavior.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Reasoning Step Word Count Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with Reasoning Step Word Count Analyzer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Reasoning Step Word Count Analyzer.

  1. 01

    Aggregate trace metrics

  2. 02

    Analyze trace verbosity

  3. 03

    Identify high verbosity steps

Observed, not estimated

799ms average. Fast in production.

Reasoning Step Word Count Analyzer is checked daily against the live service.

Daily averagePeak 1057ms
Aug 20Today
Fastest day
634ms
Slowest day
1057ms
14-day trend
Slowing+14%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Reasoning Step Word Count Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with Reasoning Step Word Count Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Reasoning Step Word Count Analyzer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ekv3hS0trxu4SmkQGQPI5KigM6tgHZpfvfQmz7Gj/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Reasoning Step Word Count Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "reasoning-step-word-count-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ekv3hS0trxu4SmkQGQPI5KigM6tgHZpfvfQmz7Gj/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Reasoning Step Word Count Analyzer owners ask.

  • 01

    What is a zero-shot indicator in this context?

    A zero-shot indicator is triggered when the analyze_trace_verbosity capability finds that the thought block contains fewer than 10 words, suggesting the model skipped detailed reasoning.

  • 02

    How is the verbosity ratio calculated?

    The verbosity ratio is the total word count of the thought block divided by the total word count of the action block.

  • 03

    Can I summarize multiple steps at once?

    Yes, you can use aggregate_trace_metrics to get a high-level summary of total steps, average verbosity, and zero-shot counts for a collection of analysis results.

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